It tells you if there is a relationship between two variables in a set of data, and if so, what kind of relationship.
The correlation coefficient, r, can be between -1 and 1.
If r = 1, there is exact direct variation (when x goes up, y goes up; the relationship is represented by a line with a slope of 1)
If r = -1, there is exact inverse variation (when x goes up, y goes down; the relationship is represented by a line with a slope of -1)
If r = -1, the variables aren't related.
If r = some other number between -1 and 1, the relationship is correspondingly stronger or weaker.
Yes it can be a correlation coefficient.
No, it cannot be a correlation coefficient.
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .
Evidence that there is no correlation.
Yes it can be a correlation coefficient.
No, it cannot be a correlation coefficient.
Robert Fisher
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .
A serious error. The maximum magnitude for a correlation coefficient is 1.The Correlation coefficient is lies between -1 to 1 if it is 0 mean there is no correlation between them. Here they are given less than -1 value so it is not a value of correlation coefficient.
the correlation coefficient range is -1 to +1
It is not possible to use correlation when the two variables are not related at all. the corelation coefficient value that will be obtained will have no significance.
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .
The correlation coefficient must lie between -1 and +1 and so a correlation coefficient of 35 is a strong indication of a calculation error. If you meant 0.35, then it is a weak correlation.
Evidence that there is no correlation.